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HO v66 Deep Model Italian Peninsula

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May 18th, 2026
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  1. targets:
  2.  
  3. Apulia.HO | Italian_South | n=10
  4. PuG12.HO, PuG17.HO, PuG20.HO, PuG28.HO, PuG33.HO, PuG37.HO, PuG46.HO, PuG58.HO, PuG66.HO, PuG74.HO
  5.  
  6. Basilicata.HO | Italian_South | n=2
  7. ITS2.HO, ITS5.HO
  8.  
  9. Calabria.HO | Italian_South | n=6
  10. ALP129.HO, ALP597.HO, BEL57.HO, PG2012_398.HO, PG2012_424.HO, PG2012_699.HO
  11.  
  12. Campania.HO | Italian_South | n=4
  13. ALP374.HO, ITS4.HO, ITS7.HO, NaN129RT.HO
  14.  
  15. Emilia.HO | Italian_North | n=7
  16. ALP156.HO, ALP211.HO, ALP278.HO, ALP28.HO, ALP342.HO, ALP392.HO, ALP67.HO
  17.  
  18. Lazio.HO | Italian_Central | n=1
  19. VT035.HO
  20.  
  21. Lombardy.HO | Italian_North | n=3
  22. ALP134.HO, ALP603.HO, ALP76.HO
  23.  
  24. Bergamo.HO | Italian_North | n=12
  25. HGDP01147.HO, HGDP01151.HO, HGDP01152.HO, HGDP01153.HO, HGDP01155.HO, HGDP01156.HO, HGDP01157.HO, HGDP01171.HO, HGDP01172.HO, HGDP01173.HO, HGDP01174.HO, HGDP01177.HO
  26.  
  27. Marche.HO | Italian_Central | n=4
  28. PG2012_642.HO, PG470.HO, PG720.HO, PG722.HO
  29.  
  30. Piedmont.HO | Italian_North | n=4
  31. ALP277.HO, ALP533.HO, ALP68.HO, ALP73.HO
  32.  
  33. SicilianSiracusa.HO | Sicilian | n=5
  34. SR23.HO, SR44.HO, SR48R.HO, SR60.HO, SR64.HO
  35.  
  36. SicilianTrapani.HO | Sicilian | n=6
  37. TP04.HO, TP05.HO, TP06.HO, TP07.HO, TP08.HO, TP25.HO
  38.  
  39. Trentino.HO | Italian_North | n=2
  40. Nei18.HO, Nei27.HO
  41.  
  42. Tuscany.HO | Italian_Central / Italian_North | n=12
  43. PG2012_242.HO, PG2012_477.HO, PG2012_639.HO, PG2012_647.HO, PG731.HO, PG739.HO, HGDP01161.HO, HGDP01162.HO, HGDP01164.HO, HGDP01166.HO, HGDP01167.HO, HGDP01169.HO
  44.  
  45. Umbria.HO | Italian_Central | n=5
  46. PG128.HO, PG2012_625.HO, PG723.HO, PG734.HO, PG775.HO
  47.  
  48. Veneto.HO | Italian_North | n=3
  49. ALP108.HO, ALP202.HO, ALP481.HO
  50.  
  51. left_set = c('Turkey_N.DG','Russia_Samara_EBA_Yamnaya.AG','Luxembourg_Loschbour_Mesolithic.DG','Iran_GanjDareh_N.AG','Israel_Natufian.TW')
  52. right = c('Australian.DG','Iran_WezmehCave_N.SG','Georgia_Satsurblia_LateUP.SG','Italy_Sicily_Epigravettian.AG','Russia_Sidelkino2_Mesolithic-Dup.SG','Turkey_PPN.AG','Tajikistan_Mesolithic.AG','Israel_Natufian.AG')
  53.  
  54. > results$weights
  55. # A tibble: 5 × 5
  56. target left weight se z
  57. <chr> <chr> <dbl> <dbl> <dbl>
  58. 1 Apulia.HO Turkey_N.DG 0.550 0.0170 32.4
  59. 2 Apulia.HO Russia_Samara_EBA_Yamnaya.AG 0.238 0.0272 8.74
  60. 3 Apulia.HO Luxembourg_Loschbour_Mesolithic.DG 0.0371 0.00805 4.61
  61. 4 Apulia.HO Iran_GanjDareh_N.AG 0.149 0.0200 7.45
  62. 5 Apulia.HO Israel_Natufian.TW 0.0269 0.00957 2.81
  63. > results$popdrop
  64. # A tibble: 31 × 16
  65. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  66. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  67. 1 00000 0 3 2.03 5.67e- 1 4 0.550 0.238 0.0371 0.149
  68. 2 00001 1 4 9.95 4.14e- 2 3 0.573 0.246 0.0338 0.147
  69. 3 00010 1 4 65.9 1.69e- 13 3 0.591 0.377 0.00866 NA
  70. 4 00100 1 4 25.1 4.83e- 5 3 0.560 0.318 NA 0.103
  71. 5 01000 1 4 76.5 9.39e- 16 3 0.604 NA 0.0822 0.286
  72. 6 10000 1 4 546. 6.77e-117 3 NA 0.266 0.0695 0.123
  73. 7 00011 2 5 72.5 3.04e- 14 2 0.611 0.384 0.00544 NA
  74. 8 00101 2 5 30.1 1.41e- 5 2 0.576 0.319 NA 0.105
  75. 9 00110 2 5 70.6 7.64e- 14 2 0.591 0.387 NA NA
  76. 10 01001 2 5 84.6 9.20e- 17 2 0.632 NA 0.0804 0.288
  77.  
  78. > results$weights
  79. # A tibble: 5 × 5
  80. target left weight se z
  81. <chr> <chr> <dbl> <dbl> <dbl>
  82. 1 Basilicata.HO Turkey_N.DG 0.510 0.0312 16.3
  83. 2 Basilicata.HO Russia_Samara_EBA_Yamnaya.AG 0.206 0.0492 4.19
  84. 3 Basilicata.HO Luxembourg_Loschbour_Mesolithic.DG 0.0406 0.0141 2.89
  85. 4 Basilicata.HO Iran_GanjDareh_N.AG 0.189 0.0357 5.28
  86. 5 Basilicata.HO Israel_Natufian.TW 0.0543 0.0165 3.29
  87. > results$popdrop
  88. # A tibble: 31 × 16
  89. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Mesol…¹ Iran_GanjDareh_N.AG
  90. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  91. 1 00000 0 3 1.25 7.41e- 1 4 0.510 0.206 0.0406 0.189
  92. 2 00001 1 4 12.9 1.20e- 2 3 0.559 0.208 0.0355 0.197
  93. 3 00010 1 4 58.6 5.83e-12 3 0.552 0.379 0.00807 NA
  94. 4 00100 1 4 12.7 1.26e- 2 3 0.515 0.293 NA 0.142
  95. 5 01000 1 4 45.1 3.85e- 9 3 0.560 NA 0.0779 0.313
  96. 6 10000 1 4 332. 1.45e-70 3 NA 0.340 0.0457 0.192
  97. 7 00011 2 5 82.0 3.24e-16 2 0.616 0.381 0.00265 NA
  98. 8 00101 2 5 26.8 6.27e- 5 2 0.558 0.286 NA 0.156
  99. 9 00110 2 5 71.0 6.46e-14 2 0.552 0.387 NA NA
  100. 10 01001 2 5 63.2 2.71e-12 2 0.614 NA 0.0745 0.312
  101.  
  102. > results$weights
  103. # A tibble: 4 × 5
  104. target left weight se z
  105. <chr> <chr> <dbl> <dbl> <dbl>
  106. 1 Bergamo.HO Turkey_N.DG 0.560 0.0147 38.2
  107. 2 Bergamo.HO Russia_Samara_EBA_Yamnaya.AG 0.297 0.0263 11.3
  108. 3 Bergamo.HO Luxembourg_Loschbour_Mesolithic.DG 0.0857 0.00792 10.8
  109. 4 Bergamo.HO Iran_GanjDareh_N.AG 0.0568 0.0190 2.99
  110. > results$popdrop
  111. # A tibble: 15 × 15
  112. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Ya…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  113. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  114. 1 0000 0 4 0.896 9.25e- 1 3 0.560 0.297 0.0857 0.0568 TRUE
  115. 2 0001 1 5 11.5 4.15e- 2 2 0.571 0.354 0.0752 NA TRUE
  116. 3 0010 1 5 128. 8.02e- 26 2 0.582 0.469 NA -0.0510 FALSE
  117. 4 0100 1 5 112. 1.53e- 22 2 0.634 NA 0.143 0.223 TRUE
  118. 5 1000 1 5 1044. 1.80e-223 2 NA -22.0 4.82 18.2 FALSE
  119. 6 0011 2 6 153. 1.52e- 30 1 0.578 0.422 NA NA TRUE
  120. 7 0101 2 6 306. 5.12e- 63 1 0.854 NA 0.146 NA TRUE
  121. 8 0110 2 6 493. 3.14e-103 1 0.844 NA NA 0.156 TRUE
  122. 9 1001 2 6 1978. 0 1 NA 1.02 -0.0209 NA FALSE
  123. 10 1010 2 6 1494. 9.31e-320 1 NA 2.24 NA -1.24 FALSE
  124. 11 1100 2 6 1700. 0 1 NA NA 0.200 0.800 TRUE
  125. 12 0111 3 7 565. 6.52e-118 0 1 NA NA NA TRUE
  126. 13 1011 3 7 2098. 0 0 NA 1 NA NA TRUE
  127. 14 1101 3 7 3376. 0 0 NA NA 1 NA TRUE
  128. 15 1110 3 7 2319. 0 0 NA NA NA 1 TRUE
  129.  
  130. > results$weights
  131. # A tibble: 5 × 5
  132. target left weight se z
  133. <chr> <chr> <dbl> <dbl> <dbl>
  134. 1 Calabria.HO Turkey_N.DG 0.529 0.0187 28.2
  135. 2 Calabria.HO Russia_Samara_EBA_Yamnaya.AG 0.211 0.0286 7.39
  136. 3 Calabria.HO Luxembourg_Loschbour_Mesolithic.DG 0.0416 0.00829 5.02
  137. 4 Calabria.HO Iran_GanjDareh_N.AG 0.167 0.0205 8.12
  138. 5 Calabria.HO Israel_Natufian.TW 0.0513 0.0104 4.91
  139. > results$popdrop
  140. # A tibble: 31 × 16
  141. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Mesol…¹ Iran_GanjDareh_N.AG
  142. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  143. 1 00000 0 3 5.43 1.43e- 1 4 0.529 0.211 0.0416 0.167
  144. 2 00001 1 4 30.5 3.82e- 6 3 0.578 0.218 0.0385 0.166
  145. 3 00010 1 4 85.1 1.44e-17 3 0.564 0.373 0.0114 NA
  146. 4 00100 1 4 33.6 9.20e- 7 3 0.535 0.298 NA 0.122
  147. 5 01000 1 4 64.6 3.13e-13 3 0.585 NA 0.0805 0.283
  148. 6 10000 1 4 459. 5.43e-98 3 NA 0.386 0.0368 0.140
  149. 7 00011 2 5 111. 3.13e-22 2 0.615 0.379 0.00606 NA
  150. 8 00101 2 5 54.3 1.81e-10 2 0.577 0.297 NA 0.125
  151. 9 00110 2 5 95.0 5.96e-19 2 0.566 0.385 NA NA
  152. 10 01001 2 5 89.8 7.41e-18 2 0.636 NA 0.0791 0.284
  153.  
  154. > results$weights
  155. # A tibble: 5 × 5
  156. target left weight se z
  157. <chr> <chr> <dbl> <dbl> <dbl>
  158. 1 Campania.HO Turkey_N.DG 0.532 0.0207 25.7
  159. 2 Campania.HO Russia_Samara_EBA_Yamnaya.AG 0.259 0.0324 7.98
  160. 3 Campania.HO Luxembourg_Loschbour_Mesolithic.DG 0.0302 0.00951 3.18
  161. 4 Campania.HO Iran_GanjDareh_N.AG 0.143 0.0236 6.06
  162. 5 Campania.HO Israel_Natufian.TW 0.0362 0.0120 3.01
  163. > results$popdrop
  164. # A tibble: 31 × 16
  165. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  166. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  167. 1 00000 0 3 3.47 3.25e- 1 4 0.532 0.259 0.0302 0.143
  168. 2 00001 1 4 13.1 1.07e- 2 3 0.567 0.260 0.0272 0.146
  169. 3 00010 1 4 54.2 4.75e- 11 3 0.559 0.403 0.00152 NA
  170. 4 00100 1 4 14.8 5.21e- 3 3 0.536 0.327 NA 0.107
  171. 5 01000 1 4 83.5 3.16e- 17 3 0.601 NA 0.0780 0.290
  172. 6 10000 1 4 479. 2.57e-102 3 NA 0.420 0.0321 0.0807
  173. 7 00011 2 5 67.3 3.69e- 13 2 0.598 0.405 -0.00290 NA
  174. 8 00101 2 5 23.0 3.31e- 4 2 0.566 0.321 NA 0.113
  175. 9 00110 2 5 58.3 2.79e- 11 2 0.562 0.402 NA NA
  176. 10 01001 2 5 91.9 2.67e- 18 2 0.633 NA 0.0766 0.290
  177.  
  178. > results$weights
  179. # A tibble: 4 × 5
  180. target left weight se z
  181. <chr> <chr> <dbl> <dbl> <dbl>
  182. 1 Emilia.HO Turkey_N.DG 0.538 0.0159 33.8
  183. 2 Emilia.HO Russia_Samara_EBA_Yamnaya.AG 0.326 0.0282 11.6
  184. 3 Emilia.HO Luxembourg_Loschbour_Mesolithic.DG 0.0586 0.00813 7.21
  185. 4 Emilia.HO Iran_GanjDareh_N.AG 0.0774 0.0200 3.87
  186. > results$popdrop
  187. # A tibble: 15 × 15
  188. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  189. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  190. 1 0000 0 4 2.25 6.90e- 1 3 0.538 0.326 0.0586 0.0774 TRUE
  191. 2 0001 1 5 20.7 9.14e- 4 2 0.552 0.404 0.0443 NA TRUE
  192. 3 0010 1 5 60.7 8.59e- 12 2 0.546 0.448 NA 0.00559 TRUE
  193. 4 0100 1 5 125. 2.22e- 25 2 0.625 NA 0.120 0.255 TRUE
  194. 5 1000 1 5 1021. 2.14e-218 2 NA 10.1 -1.93 -7.18 FALSE
  195. 6 0011 2 6 68.7 7.63e- 13 1 0.549 0.451 NA NA TRUE
  196. 7 0101 2 6 374. 1.23e- 77 1 0.876 NA 0.124 NA TRUE
  197. 8 0110 2 6 408. 5.25e- 85 1 0.771 NA NA 0.229 TRUE
  198. 9 1001 2 6 1629. 0 1 NA 1.01 -0.00534 NA FALSE
  199. 10 1010 2 6 1478. 2.77e-316 1 NA 1.74 NA -0.738 FALSE
  200. 11 1100 2 6 1601. 0 1 NA NA 0.170 0.830 TRUE
  201. 12 0111 3 7 560. 1.18e-116 0 1 NA NA NA TRUE
  202. 13 1011 3 7 1782. 0 0 NA 1 NA NA TRUE
  203. 14 1101 3 7 3439. 0 0 NA NA 1 NA TRUE
  204. 15 1110 3 7 2036. 0 0 NA NA NA 1 TRUE
  205.  
  206. > results$weights
  207. # A tibble: 4 × 5
  208. target left weight se z
  209. <chr> <chr> <dbl> <dbl> <dbl>
  210. 1 Lazio.HO Turkey_N.DG 0.606 0.0275 22.0
  211. 2 Lazio.HO Russia_Samara_EBA_Yamnaya.AG 0.276 0.0512 5.38
  212. 3 Lazio.HO Luxembourg_Loschbour_Mesolithic.DG 0.0534 0.0155 3.43
  213. 4 Lazio.HO Iran_GanjDareh_N.AG 0.0649 0.0373 1.74
  214. > results$popdrop
  215. # A tibble: 15 × 15
  216. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  217. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  218. 1 0000 0 4 3.97 4.11e- 1 3 0.606 0.276 0.0534 0.0649 TRUE
  219. 2 0001 1 5 14.8 1.12e- 2 2 0.620 0.337 0.0425 NA TRUE
  220. 3 0010 1 5 21.2 7.59e- 4 2 0.604 0.392 NA 0.00371 TRUE
  221. 4 0100 1 5 80.6 6.43e- 16 2 0.675 NA 0.107 0.219 TRUE
  222. 5 1000 1 5 889. 7.32e-190 2 NA 2.19 -0.281 -0.913 FALSE
  223. 6 0011 2 6 40.7 3.29e- 7 1 0.615 0.385 NA NA TRUE
  224. 7 0101 2 6 229. 1.57e- 46 1 0.889 NA 0.111 NA TRUE
  225. 8 0110 2 6 255. 3.33e- 52 1 0.801 NA NA 0.199 TRUE
  226. 9 1001 2 6 1470. 2.00e-314 1 NA 1.02 -0.0243 NA FALSE
  227. 10 1010 2 6 1269. 6.92e-271 1 NA 1.13 NA -0.134 FALSE
  228. 11 1100 2 6 1706. 0 1 NA NA 0.158 0.842 TRUE
  229. 12 0111 3 7 361. 4.42e- 74 0 1 NA NA NA TRUE
  230. 13 1011 3 7 1723. 0 0 NA 1 NA NA TRUE
  231. 14 1101 3 7 3492. 0 0 NA NA 1 NA TRUE
  232. 15 1110 3 7 2044. 0 0 NA NA NA 1 TRUE
  233.  
  234. > results$weights
  235. # A tibble: 4 × 5
  236. target left weight se z
  237. <chr> <chr> <dbl> <dbl> <dbl>
  238. 1 Lombardy.HO Turkey_N.DG 0.550 0.0196 28.0
  239. 2 Lombardy.HO Russia_Samara_EBA_Yamnaya.AG 0.296 0.0337 8.78
  240. 3 Lombardy.HO Luxembourg_Loschbour_Mesolithic.DG 0.0789 0.0103 7.63
  241. 4 Lombardy.HO Iran_GanjDareh_N.AG 0.0754 0.0242 3.12
  242. > results$popdrop
  243. # A tibble: 15 × 15
  244. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  245. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  246. 1 0000 0 4 1.69 7.93e- 1 3 0.550 0.296 0.0789 0.0754 TRUE
  247. 2 0001 1 5 15.4 8.66e- 3 2 0.566 0.368 0.0658 NA TRUE
  248. 3 0010 1 5 70.0 1.00e- 13 2 0.560 0.452 NA -0.0120 FALSE
  249. 4 0100 1 5 99.6 6.38e- 20 2 0.630 NA 0.135 0.235 TRUE
  250. 5 1000 1 5 986. 7.33e-211 2 NA 3.62 -0.542 -2.08 FALSE
  251. 6 0011 2 6 98.4 5.52e- 19 1 0.568 0.432 NA NA TRUE
  252. 7 0101 2 6 291. 7.95e- 60 1 0.861 NA 0.139 NA TRUE
  253. 8 0110 2 6 405. 1.94e- 84 1 0.808 NA NA 0.192 TRUE
  254. 9 1001 2 6 1519. 0 1 NA 0.979 0.0213 NA TRUE
  255. 10 1010 2 6 1325. 5.01e-283 1 NA 1.47 NA -0.471 FALSE
  256. 11 1100 2 6 1602. 0 1 NA NA 0.191 0.809 TRUE
  257. 12 0111 3 7 505. 7.02e-105 0 1 NA NA NA TRUE
  258. 13 1011 3 7 1726. 0 0 NA 1 NA NA TRUE
  259. 14 1101 3 7 3318. 0 0 NA NA 1 NA TRUE
  260. 15 1110 3 7 2126. 0 0 NA NA NA 1 TRUE
  261.  
  262. > results$weights
  263. # A tibble: 5 × 5
  264. target left weight se z
  265. <chr> <chr> <dbl> <dbl> <dbl>
  266. 1 Marche.HO Turkey_N.DG 0.551 0.0200 27.5
  267. 2 Marche.HO Russia_Samara_EBA_Yamnaya.AG 0.253 0.0317 7.98
  268. 3 Marche.HO Luxembourg_Loschbour_Mesolithic.DG 0.0566 0.00938 6.04
  269. 4 Marche.HO Iran_GanjDareh_N.AG 0.105 0.0237 4.44
  270. 5 Marche.HO Israel_Natufian.TW 0.0343 0.0113 3.04
  271. > results$popdrop
  272. # A tibble: 31 × 16
  273. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  274. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  275. 1 00000 0 3 5.85 1.19e- 1 4 0.551 0.253 0.0566 0.105
  276. 2 00001 1 4 15.9 3.20e- 3 3 0.579 0.264 0.0533 0.104
  277. 3 00010 1 4 33.0 1.18e- 6 3 0.576 0.353 0.0359 NA
  278. 4 00100 1 4 44.4 5.36e- 9 3 0.564 0.379 NA 0.0314
  279. 5 01000 1 4 80.4 1.47e- 16 3 0.613 NA 0.106 0.247
  280. 6 10000 1 4 470. 2.26e-100 3 NA 0.361 0.0692 0.0716
  281. 7 00011 2 5 44.7 1.65e- 8 2 0.605 0.361 0.0334 NA
  282. 8 00101 2 5 51.7 6.20e- 10 2 0.582 0.381 NA 0.0367
  283. 9 00110 2 5 59.3 1.69e- 11 2 0.577 0.394 NA NA
  284. 10 01001 2 5 91.6 3.13e- 18 2 0.648 NA 0.104 0.248
  285.  
  286. > results$weights
  287. # A tibble: 4 × 5
  288. target left weight se z
  289. <chr> <chr> <dbl> <dbl> <dbl>
  290. 1 Piedmont.HO Turkey_N.DG 0.518 0.0174 29.8
  291. 2 Piedmont.HO Russia_Samara_EBA_Yamnaya.AG 0.318 0.0322 9.85
  292. 3 Piedmont.HO Luxembourg_Loschbour_Mesolithic.DG 0.0852 0.00985 8.65
  293. 4 Piedmont.HO Iran_GanjDareh_N.AG 0.0789 0.0237 3.33
  294. > results$popdrop
  295. # A tibble: 15 × 15
  296. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  297. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  298. 1 0000 0 4 2.88 5.78e- 1 3 0.518 0.318 0.0852 0.0789 TRUE
  299. 2 0001 1 5 19.3 1.66e- 3 2 0.532 0.397 0.0706 NA TRUE
  300. 3 0010 1 5 87.3 2.48e- 17 2 0.525 0.498 NA -0.0231 FALSE
  301. 4 0100 1 5 116. 2.70e- 23 2 0.597 NA 0.148 0.255 TRUE
  302. 5 1000 1 5 995. 7.93e-213 2 NA 2.94 -0.382 -1.56 FALSE
  303. 6 0011 2 6 127. 4.41e- 25 1 0.525 0.475 NA NA TRUE
  304. 7 0101 2 6 345. 2.24e- 71 1 0.847 NA 0.153 NA TRUE
  305. 8 0110 2 6 506. 3.86e-106 1 0.798 NA NA 0.202 TRUE
  306. 9 1001 2 6 1415. 1.28e-302 1 NA 0.988 0.0123 NA TRUE
  307. 10 1010 2 6 1238. 2.91e-264 1 NA 1.27 NA -0.270 FALSE
  308. 11 1100 2 6 1468. 4.16e-314 1 NA NA 0.207 0.793 TRUE
  309. 12 0111 3 7 615. 1.71e-128 0 1 NA NA NA TRUE
  310. 13 1011 3 7 1549. 0 0 NA 1 NA NA TRUE
  311. 14 1101 3 7 3361. 0 0 NA NA 1 NA TRUE
  312. 15 1110 3 7 2075. 0 0 NA NA NA 1 TRUE
  313.  
  314. > results$weights
  315. # A tibble: 5 × 5
  316. target left weight se z
  317. <chr> <chr> <dbl> <dbl> <dbl>
  318. 1 SicilianSiracusa.HO Turkey_N.DG 0.524 0.0199 26.4
  319. 2 SicilianSiracusa.HO Russia_Samara_EBA_Yamnaya.AG 0.246 0.0307 8.01
  320. 3 SicilianSiracusa.HO Luxembourg_Loschbour_Mesolithic.DG 0.0439 0.00905 4.86
  321. 4 SicilianSiracusa.HO Iran_GanjDareh_N.AG 0.148 0.0228 6.51
  322. 5 SicilianSiracusa.HO Israel_Natufian.TW 0.0376 0.0109 3.45
  323. > results$popdrop
  324. # A tibble: 31 × 16
  325. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  326. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  327. 1 00000 0 3 5.92 1.16e- 1 4 0.524 0.246 0.0439 0.148
  328. 2 00001 1 4 18.8 8.68e- 4 3 0.561 0.242 0.0420 0.155
  329. 3 00010 1 4 61.4 1.47e- 12 3 0.555 0.385 0.0173 NA
  330. 4 00100 1 4 32.9 1.25e- 6 3 0.534 0.341 NA 0.0937
  331. 5 01000 1 4 79.9 1.82e- 16 3 0.590 NA 0.0894 0.289
  332. 6 10000 1 4 470. 1.63e-100 3 NA 0.226 0.0985 0.197
  333. 7 00011 2 5 79.8 9.36e- 16 2 0.598 0.388 0.0136 NA
  334. 8 00101 2 5 44.5 1.81e- 8 2 0.562 0.333 NA 0.105
  335. 9 00110 2 5 71.5 4.88e- 14 2 0.557 0.403 NA NA
  336. 10 01001 2 5 89.9 6.97e- 18 2 0.623 NA 0.0878 0.289
  337.  
  338. > results$weights
  339. # A tibble: 5 × 5
  340. target left weight se z
  341. <chr> <chr> <dbl> <dbl> <dbl>
  342. 1 SicilianTrapani.HO Turkey_N.DG 0.514 0.0180 28.5
  343. 2 SicilianTrapani.HO Russia_Samara_EBA_Yamnaya.AG 0.284 0.0293 9.68
  344. 3 SicilianTrapani.HO Luxembourg_Loschbour_Mesolithic.DG 0.0392 0.00850 4.61
  345. 4 SicilianTrapani.HO Iran_GanjDareh_N.AG 0.112 0.0204 5.52
  346. 5 SicilianTrapani.HO Israel_Natufian.TW 0.0504 0.0102 4.96
  347. > results$popdrop
  348. # A tibble: 31 × 16
  349. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  350. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  351. 1 00000 0 3 4.99 1.73e- 1 4 0.514 0.284 0.0392 0.112
  352. 2 00001 1 4 30.8 3.39e- 6 3 0.562 0.289 0.0350 0.114
  353. 3 00010 1 4 43.4 8.39e- 9 3 0.532 0.397 0.0157 NA
  354. 4 00100 1 4 27.7 1.42e- 5 3 0.517 0.373 NA 0.0651
  355. 5 01000 1 4 110. 8.19e- 23 3 0.589 NA 0.0931 0.271
  356. 6 10000 1 4 486. 8.21e-104 3 NA 0.412 0.0439 0.0554
  357. 7 00011 2 5 73.0 2.46e- 14 2 0.585 0.403 0.0113 NA
  358. 8 00101 2 5 50.6 1.04e- 9 2 0.561 0.366 NA 0.0726
  359. 9 00110 2 5 50.3 1.23e- 9 2 0.532 0.417 NA NA
  360. 10 01001 2 5 130. 2.67e- 26 2 0.640 NA 0.0891 0.271
  361.  
  362. > results$weights
  363. # A tibble: 3 × 5
  364. target left weight se z
  365. <chr> <chr> <dbl> <dbl> <dbl>
  366. 1 Trentino.HO Turkey_N.DG 0.505 0.0221 22.8
  367. 2 Trentino.HO Russia_Samara_EBA_Yamnaya.AG 0.420 0.0250 16.8
  368. 3 Trentino.HO Luxembourg_Loschbour_Mesolithic.DG 0.0749 0.0104 7.24
  369. > results$popdrop
  370. # A tibble: 7 × 14
  371. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Me…¹ feasible best dofdiff
  372. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl>
  373. 1 000 0 5 11.5 4.27e- 2 2 0.505 0.420 0.0749 TRUE NA NA
  374. 2 001 1 6 81.0 2.17e- 15 1 0.498 0.502 NA TRUE TRUE 0
  375. 3 010 1 6 354. 1.78e- 73 1 0.835 NA 0.165 TRUE TRUE 0
  376. 4 100 1 6 831. 2.89e-176 1 NA 0.973 0.0272 TRUE TRUE NA
  377. 5 011 2 7 622. 5.11e-130 0 1 NA NA TRUE NA NA
  378. 6 101 2 7 973. 7.95e-206 0 NA 1 NA TRUE NA NA
  379. 7 110 2 7 3155. 0 0 NA NA 1 TRUE NA NA
  380.  
  381. > results$weights
  382. # A tibble: 4 × 5
  383. target left weight se z
  384. <chr> <chr> <dbl> <dbl> <dbl>
  385. 1 Tuscany.HO Turkey_N.DG 0.560 0.0147 38.1
  386. 2 Tuscany.HO Russia_Samara_EBA_Yamnaya.AG 0.265 0.0255 10.4
  387. 3 Tuscany.HO Luxembourg_Loschbour_Mesolithic.DG 0.0632 0.00745 8.48
  388. 4 Tuscany.HO Iran_GanjDareh_N.AG 0.112 0.0186 6.01
  389. > results$popdrop
  390. # A tibble: 15 × 15
  391. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  392. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  393. 1 0000 0 4 7.15 1.28e- 1 3 0.560 0.265 0.0632 0.112 TRUE
  394. 2 0001 1 5 50.3 1.18e- 9 2 0.586 0.372 0.0422 NA TRUE
  395. 3 0010 1 5 83.2 1.83e- 16 2 0.574 0.392 NA 0.0341 TRUE
  396. 4 0100 1 5 103. 1.31e- 20 2 0.631 NA 0.112 0.257 TRUE
  397. 5 1000 1 5 1017. 1.03e-217 2 NA -253. 52.8 201. FALSE
  398. 6 0011 2 6 95.7 1.93e- 18 1 0.584 0.416 NA NA TRUE
  399. 7 0101 2 6 355. 1.18e- 73 1 0.891 NA 0.109 NA TRUE
  400. 8 0110 2 6 370. 6.91e- 77 1 0.781 NA NA 0.219 TRUE
  401. 9 1001 2 6 1917. 0 1 NA 1.08 -0.0770 NA FALSE
  402. 10 1010 2 6 1552. 0 1 NA 2.73 NA -1.73 FALSE
  403. 11 1100 2 6 1577. 0 1 NA NA 0.158 0.842 TRUE
  404. 12 0111 3 7 508. 1.26e-105 0 1 NA NA NA TRUE
  405. 13 1011 3 7 2102. 0 0 NA 1 NA NA TRUE
  406. 14 1101 3 7 3668. 0 0 NA NA 1 NA TRUE
  407. 15 1110 3 7 1988. 0 0 NA NA NA 1 TRUE
  408.  
  409. > results$weights
  410. # A tibble: 5 × 5
  411. target left weight se z
  412. <chr> <chr> <dbl> <dbl> <dbl>
  413. 1 Umbria.HO Turkey_N.DG 0.539 0.0193 27.9
  414. 2 Umbria.HO Russia_Samara_EBA_Yamnaya.AG 0.258 0.0301 8.56
  415. 3 Umbria.HO Luxembourg_Loschbour_Mesolithic.DG 0.0584 0.00898 6.50
  416. 4 Umbria.HO Iran_GanjDareh_N.AG 0.124 0.0214 5.79
  417. 5 Umbria.HO Israel_Natufian.TW 0.0213 0.0104 2.06
  418. > results$popdrop
  419. # A tibble: 31 × 16
  420. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yamnaya.AG Luxembourg_Loschbour_Meso…¹ Iran_GanjDareh_N.AG
  421. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
  422. 1 00000 0 3 7.02 7.13e- 2 4 0.539 0.258 0.0584 0.124
  423. 2 00001 1 4 11.5 2.15e- 2 3 0.559 0.261 0.0577 0.123
  424. 3 00010 1 4 48.3 8.07e- 10 3 0.564 0.381 0.0336 NA
  425. 4 00100 1 4 53.3 7.45e- 11 3 0.553 0.379 NA 0.0524
  426. 5 01000 1 4 88.9 2.28e- 18 3 0.606 NA 0.109 0.268
  427. 6 10000 1 4 517. 1.36e-110 3 NA 0.465 0.0560 0.0328
  428. 7 00011 2 5 53.4 2.76e- 10 2 0.584 0.383 0.0322 NA
  429. 8 00101 2 5 57.4 4.13e- 11 2 0.566 0.384 NA 0.0506
  430. 9 00110 2 5 73.7 1.76e- 14 2 0.566 0.417 NA NA
  431. 10 01001 2 5 92.9 1.62e- 18 2 0.622 NA 0.109 0.268
  432.  
  433. > results$weights
  434. # A tibble: 4 × 5
  435. target left weight se z
  436. <chr> <chr> <dbl> <dbl> <dbl>
  437. 1 Veneto.HO Turkey_N.DG 0.475 0.0179 26.5
  438. 2 Veneto.HO Russia_Samara_EBA_Yamnaya.AG 0.362 0.0319 11.3
  439. 3 Veneto.HO Luxembourg_Loschbour_Mesolithic.DG 0.0843 0.00981 8.59
  440. 4 Veneto.HO Iran_GanjDareh_N.AG 0.0793 0.0234 3.39
  441. > results$popdrop
  442. # A tibble: 15 × 15
  443. pat wt dof chisq p f4rank Turkey_N.DG Russia_Samara_EBA_Yam…¹ Luxembourg_Loschbour…² Iran_GanjDareh_N.AG feasible
  444. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
  445. 1 0000 0 4 8.22 8.37e- 2 3 0.475 0.362 0.0843 0.0793 TRUE
  446. 2 0001 1 5 27.3 4.95e- 5 2 0.491 0.437 0.0712 NA TRUE
  447. 3 0010 1 5 92.9 1.66e- 18 2 0.480 0.533 NA -0.0129 FALSE
  448. 4 0100 1 5 167. 2.67e- 34 2 0.570 NA 0.158 0.272 TRUE
  449. 5 1000 1 5 870. 9.09e-186 2 NA 1.55 -0.0973 -0.451 FALSE
  450. 6 0011 2 6 134. 1.46e- 26 1 0.484 0.516 NA NA TRUE
  451. 7 0101 2 6 407. 7.80e- 85 1 0.833 NA 0.167 NA TRUE
  452. 8 0110 2 6 568. 1.74e-119 1 0.778 NA NA 0.222 TRUE
  453. 9 1001 2 6 1188. 2.41e-253 1 NA 0.970 0.0300 NA TRUE
  454. 10 1010 2 6 1017. 1.84e-216 1 NA 1.13 NA -0.134 FALSE
  455. 11 1100 2 6 1365. 9.57e-292 1 NA NA 0.214 0.786 TRUE
  456. 12 0111 3 7 695. 1.05e-145 0 1 NA NA NA TRUE
  457. 13 1011 3 7 1321. 5.49e-281 0 NA 1 NA NA TRUE
  458. 14 1101 3 7 3169. 0 0 NA NA 1 NA TRUE
  459. 15 1110 3 7 2012. 0 0 NA NA NA 1 TRUE
  460.  
  461.  
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